Gurkamal Deol

Bioinformatics Engineer @Canurta Therapeutics

Toronto, ON, CA

Led a team of 3, developing AI-powered biological data analysis tools and automated workflows- Developed and deployed an internal AI-powered drug discovery platform using Python/Django, OpenAI agents, and transformer models that automates literature mining, target ranking, and ADMET screening, reducing manual workflow time from 7 days to under 1 day- Fine-tuned a large chemical language model on polyphenol structures using PyTorch and HuggingFace, creating priority ranking systems that improved wet-lab hit rates- Implemented distributed data processing using Apache Spark for large-scale genomic dataset analysisProcessed genomic datasets (BAM, SAM, FASTQ) using UNIX tools and custom scripts for analysis pipelines- Developed a live PCA-based batch consistency dashboard for flavonoid quality control using real-time ETL and Plotly visualization, significantly reducing analyst review time while ensuring GMP-compliant audit trails- Generated heatmaps, volcano plots, and PCA using R packages to visualize, interpret, and communicate results- Deployed a GPT-powered application that processes raw zebrafish and mouse RNA-seq data through automated Snakemake and DESeq2 workflows, delivering fully annotated differential gene expression reports in under 2 hours- Implemented infrastructure-as-code and CI/CD pipelines using Terraform, GitHub Actions, and Docker, enabling automated deployment of development, staging, and production environments in 15 minutes with comprehensive testing, resulting in daily zero-downtime releases- Inventor, U.S. Patent No 63/568,418 – “Computational Framework for Drug Discovery of Bioactive Therapeutics.

Western University

Bachelor's degree, Genetics

University of Toronto

Certificate, Artificial Intelligence

University of Guelph

Master's degree, Bioinformatics